Overview
Data Scientist role at BAE Systems Digital Intelligence. Location: Frimley, UK.
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts working across 10 countries to collect, connect and understand complex data to unlock digital advantage for governments, armed forces and commercial businesses.
Responsibilities
* Design, develop, and test solutions to collect, integrate, and prepare data for advanced analytics and machine learning applications.
* Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes.
* Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.
* Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.
* Deploy models into production environments, handling the integration and operationalisation of ML within wider systems and applications.
* Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation.
* Collaborate with data analysts, engineers, and other stakeholders to define tools, enhance workflows, and support innovation across teams.
* Communicate findings, recommendations, and model outcomes to technical and non-technical audiences through visualisation and data storytelling.
* Research emerging AI/ML techniques to stay ahead of the curve and identify opportunities to enhance current systems.
* Ensure all data science and ML practices adhere to ethical standards, policies, and governance frameworks.
* Provide technical guidance and mentorship on ML implementation across cross-functional teams.
About You
* You have a strong foundation in data science, analytics, or machine learning, with hands-on experience developing models that solve practical problems and deliver measurable impact.
* You are comfortable with the full ML lifecycle – from exploratory data analysis and model prototyping to production deployment, integration, and monitoring.
* You are proficient in Python and its data/ML ecosystem (pandas, scikit-learn, PyTorch, TensorFlow) and can apply statistical techniques in real-world settings.
* You have deployed models into live systems and understand how to operationalise ML – APIs, integration into applications, or containerisation with Docker.
* You actively monitor model performance, experience with drift, retraining triggers, and optimisation opportunities.
* You stay current with ML and AI advancements and enjoy applying new methods to improve systems and outcomes.
* You are aware of ethical and governance considerations when deploying ML at scale – bias, fairness, explainability, and compliance – and you incorporate these into your work.
* You are a strong communicator who can translate complex technical work into clear insights for technical and non-technical stakeholders.
* You enjoy working in cross-functional teams, contributing expertise while collaborating with analysts, engineers, product teams, and decision-makers.
* You are self-motivated, solution-oriented, and take ownership from scoping a problem to delivering a production-ready solution.
Due to the nature of our business and the requirements of this role, you will need to hold a MoD/Partner DV and be a UK National.
Why BAE Systems?
This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to ensure our recruitment processes are as inclusive as possible. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your recruiter about reasonable adjustments.
Life at BAE Systems Digital Intelligence
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site. Hybrid Working allows for increased flexibility in when and where we work, helping balance work and personal life and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds can work together to achieve excellence.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* IT Services and IT Consulting
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